An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

🎈 Simple reactive notebooks for Julia

Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia

A very small web server in Python inspired by Django

Django For Everybody Sample Code

Jupyter notebooks associated with the Algorithms for Optimization textbook

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

RISC-V simulator for CS2323

The Julia Programming Language

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

Python implementations (on jupyter notebook) of algorithms described in the book "PRML"

A curated list of all Henry AI Labs videos on Deep Learning and AI organized by category!

Slides + Source Code + Data for an introductory course to NumPy, Matplotlib, SciPy, Scikit-Learn & TensorFlow Keras

Neural Networks: Zero to Hero

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

PRML algorithms implemented in Python

Code samples for my book "Neural Networks and Deep Learning"